They did a superb performance in this competition using their outstanding interdisciplinary knowledge in modeling, programming, and machine learning.

This performance is due also to the fantastic training by the team of AMSC graduate students and a NWC postdoc led by Matt Guay.
Matt did an outstanding job of putting together the training tutorials, as well as coaching the UMD team and I thank him for his hard work.
Many thanks to him and to the entire team: Dana-Adriana Botesteanu, Xuemei Chen, Chae Clark , David Darmon,
Stefan Doboszczak, Virginia Forstall, and Lucia Simonelli for the tutorials they presented during the Fall of 2013 prior to the internal competition.

In terms of statistics. There were 6755 participating teams from 18 countries. U.S. participated with 391 teams.

There were:

13 outstanding winners (1%)

12 finalist winners (1%)

656 meritorious winners (9%)

2168 honorable mentions (31%)

3891 successful participants (57%)

15 unsuccessful participants (1%)

The MCM teams can only submit solutions to only one of two problems (A and B).

Our team chose problem B together with 2870 other teams. Their results were as follows:

7 outstanding winners – 1 US team

6 finalist winners – 1 US team

203 meritorious winners – 27 US teams (one of them UMD!)

1211 honorable mentions

1439 successful participants

5 unsuccessful participants

Our team ended in the top 7.5% of teams that submitted solutions to problem B.

Congratulations again to our team (Chris Lawler, Nathan Ng, and Sean Pannella), and many thanks to Matt Guay and the AMSC/NWC trainers team!